Research - Data Product Manager / Data Analyst Research - Data Product Manager / Data Analyst …

Morgan Stanley
in New York, NY
Permanent, Full time
Be the first to apply
Competitive
Morgan Stanley
in New York, NY
Permanent, Full time
Be the first to apply
Competitive
Research - Data Product Manager / Data Analyst
Morgan Stanley Research is seeking a Data Product Manager / Data Analyst to join our data team to help manage Research Data Products. The candidate will work closely with Research Analysts, technologists and data governance professionals to assist in the development and support of Research Data Products. The candidate will also interact with clients and internal Sales and Trading professionals to educate and manage changes to data feeds and APIs.

Job Responsibilities
- Analyze data sets, develop data quality rules, and work collaboratively with SMEs to implement and test new data product feeds / APIs
- Coordinate with technology teams to design, construct, install, test and maintain data management systems
- Maintain data product documentation
- Provide product support for clients and internal users of data products

Technical Expectations
- Experience with using data profiling tools to query data, identify anomalies, gaps and issues
- Experience in problem solving and performing root cause analysis on data-related issues
- Experience with Python for data analysis and data management activities
- Experience designing and configuring technical architecture to support data management activities
- Experience in data quality management tools/libraries
- Experience working with data in various forms: files (Excel, csv...), relational databases, data warehouses, unstructured data environments (HIVE, Impala)
- General awareness of data management best practices, emerging trends, and challenges
- Experience and/or exposure to financial data; experience with datasets commonly used in investment Research analysis (both macro and Equity) preferred

Qualifications:

- Minimum of a Bachelor's Degree from an accredited higher learning institution required or equivalent combination of experience and education
- 2-5 years experience as a data analyst, data engineer, data scientist, business analysis or related quantitative analyst
- 2+ years experience in financial services industry (sell-side, buy-side, or financials services provider)
- Experience with Python for data analysis

- Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
- Comfortable working in a large organization and interfacing with a broad set of stakeholders across various functions (i.e., Business, IT, Operations)
- Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiences
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